CN111752135A - Condition evaluation method, wristwatch band, and storage medium - Google Patents

Abstract

The invention provides a state evaluation method, a watch belt and a storage medium, which can evaluate the state of any watch and inform the appropriate repair and inspection content and time. The state evaluation program causes the computer to realize the following functions: a state data acquisition function for acquiring state data representing the state of a wristwatch, which is collected by a sensor mounted on a wristwatch strap attached to the wristwatch; a state evaluation function that executes a state evaluation process of evaluating a state of the watch based on the state data; and a notification data output function that outputs notification data indicating at least one of a result of the state evaluation processing and a repair check content based on the result when a predetermined condition is satisfied in the state evaluation processing.

Description

Condition evaluation method, wristwatch band, and storage medium

technical field

The present invention relates to a state evaluation method, a wristwatch band, and a storage medium.

Background technique

Mechanical watches have attracted many users for reasons such as their attractiveness as handicrafts that have a delicately assembled movement. However, the state of a mechanical watch may change depending on the usage situation and usage environment, and repair inspections such as inspection may be required. Therefore, the state of the mechanical watch becomes a matter of great concern to users of the mechanical watch.

For example, Patent Document 1 discloses, as an example of a technique for evaluating the accuracy of a mechanical wristwatch and notifying it to a customer, a wristwatch having a mechanical movement and a circuit board for realizing a Smart watch function that measures functions such as delta rate.

Patent Document 1: Specification of European Patent Application Publication No. 3330811

However, the above-mentioned watch can only evaluate the accuracy of the time displayed by the mechanical movement built in the watch case together with the circuit board. Therefore, the wristwatch cannot realize the function of evaluating the state of a wristwatch such as a mechanical wristwatch that the user likes to use in the past, and notifying the content and timing of an appropriate repair inspection.

SUMMARY OF THE INVENTION

The present invention has been made in view of the above-mentioned problems, and an object thereof is to provide a condition evaluation program and a wristwatch strap which can evaluate the condition of any wristwatch and notify the content and timing of an appropriate repair inspection.

In order to achieve the above object, one aspect of the present invention is a state evaluation method for realizing a function of acquiring a state data acquisition function of acquiring information representing the wristwatch collected by a sensor mounted on a wristwatch strap attached to a wristwatch. state data of the state; a state evaluation function that executes state evaluation processing for evaluating the state of the watch based on the state data; and a notification data output function that outputs, when a predetermined condition is satisfied in the state evaluation process Notification data indicating at least one of a result of the state evaluation process and a repair inspection content based on the result.

In addition, in the state evaluation method according to an aspect of the present invention, the state data acquisition function is a time sound data acquisition function for acquiring a time sound indicating a time sound of the wristwatch collected by the sensor within a predetermined time period data, and the state evaluation function is an accuracy evaluation function that executes an accuracy evaluation process for evaluating the accuracy of the time displayed by the wristwatch based on the time sound data.

In addition, in the state evaluation method according to one aspect of the present invention, the accuracy evaluation function is a function for calculating the accumulated time by accumulating the time during which the time sound of the wristwatch was collected in the accuracy evaluation process. The sound generation time is determined, and it is determined whether the accumulated time sound generation time exceeds a predetermined threshold value, and the notification data output function is a function of determining that the accumulated time sound generation time exceeds a predetermined value in the accuracy evaluation process. In the case of the threshold value, the notification data for prompting the maintenance of the watch is output.

Further, in the state evaluation method according to an aspect of the present invention, the accuracy evaluation function is a function of calculating, in the accuracy evaluation process, a value of a balance wheel included in the watch based on the time sound of the watch. The swing angle is calculated by accumulating the time during which the swing angle exceeds a predetermined threshold value to calculate a cumulative driving time as the time when the watch is driven, and it is determined whether the cumulative driving time exceeds a predetermined threshold value, and the notification The data output function is a function of outputting the notification data for urging inspection of the wristwatch when it is determined in the accuracy evaluation process that the accumulated driving time exceeds a predetermined threshold value.

Further, in the state evaluation method according to an aspect of the present invention, the accuracy evaluation function is a function of calculating, in the accuracy evaluation process, a value of a balance wheel included in the watch based on the time sound of the watch. The swing angle is determined to determine whether the swing angle is equal to or less than a predetermined threshold value, and the notification data output function is a function of outputting the output when it is determined in the accuracy evaluation process that the swing angle is equal to or less than the predetermined threshold value. The notification data for prompting inspection of the watch.

Further, in the state evaluation method according to an aspect of the present invention, the accuracy evaluation function is a function of calculating, in the accuracy evaluation process, a value of a balance wheel included in the watch based on the time sound of the watch. The swing angle is determined to determine whether the swing angle exceeds a predetermined threshold value, and the notification data output function is a function of outputting the output when it is determined in the accuracy evaluation process that the swing angle exceeds the predetermined threshold value. The notification data indicating that overtravel has occurred.

Further, in the state evaluation method according to an aspect of the present invention, the accuracy evaluation function is a function of calculating, in the accuracy evaluation process, a value of a balance wheel included in the watch based on the time sound of the watch. Swing angle, and calculate the cumulative non-carrying time to determine whether the cumulative non-carrying time exceeds the duration of the watch, wherein the cumulative non-carrying time is obtained by accumulating the non-carrying time, and the non-carrying time is obtained by accumulating the non-carrying time. The time is the time during which the swing angle fluctuates within a predetermined fluctuation range within a predetermined period, the non-carrying time represents the time when the watch is not carried, and the notification data output function is a function of: When it is determined in the accuracy evaluation process that the accumulated non-carrying time exceeds the duration of the wristwatch, the notification data for urging winding up of the powerspring of the wristwatch is output.

Further, in the state evaluation method according to an aspect of the present invention, the accuracy evaluation function is a function of calculating, in the accuracy evaluation process, a value of a balance wheel included in the watch based on the time sound of the watch. Swing angle, and calculate the cumulative carrying time, and determine whether the time obtained by multiplying the cumulative carrying time by a predetermined coefficient that takes into account the body temperature of the user carrying the watch exceeds the predetermined time, wherein the cumulative carrying time is The carrying time is obtained by accumulating the carrying time, which is the time during which the swing angle fluctuates more than a predetermined fluctuation width within a predetermined period, and the notification data output function is a function of: In the evaluation process, when it is determined that the time obtained by multiplying the accumulated carrying time by the predetermined coefficient exceeds a predetermined time, the notification data for urging inspection of the wristwatch is output.

In addition, in the state evaluation method according to one aspect of the present invention, the accuracy evaluation function is a function of calculating, in the accuracy evaluation process, the performance of the watch within a predetermined period based on the time sound of the watch. The difference rate is determined, and whether the change amount of the difference rate exceeds a predetermined threshold value is determined, and the notification data output function is a function of outputting the output when it is determined that the change amount of the difference rate exceeds the predetermined threshold value. The notification data urging demagnetization or repair of the watch.

In addition, in the state evaluation method according to an aspect of the present invention, the state data acquisition function includes a posture data acquisition function and a time sound data acquisition function, and the posture data acquisition function acquires the information indicating the wristwatch collected by the sensor. posture data of a posture, the time sound data acquisition function acquires time sound data representing the time sound of the wristwatch collected by the sensor, and the state evaluation function is a function of evaluating the time sound based on the posture data The trend of the posture of the watch, and the difference rate of the watch is calculated based on the time sound indicated by the time sound data, and it is determined whether the difference rate of the watch deviates from a predetermined range, and the notification data output function is A function of outputting the notification data for urging inspection of the wristwatch according to the tendency of the posture of the wristwatch when it is determined that the difference rate of the wristwatch deviates from a predetermined range.

In addition, in the state evaluation method according to one aspect of the present invention, the state data acquisition function includes an acceleration data acquisition function and a time sound data acquisition function, and the acceleration data acquisition function acquires the data indicating the wristwatch collected by the sensor. Acceleration data of acceleration, the time sound data acquisition function acquires time sound data representing the time sound of the watch collected by the sensor, and the state evaluation function is a function for determining whether the acceleration data is If the displayed acceleration exceeds a predetermined threshold value, and the difference rate of the watch calculated from the time sound data deviates from a predetermined range, the notification data output function is a function of: When the displayed acceleration exceeds a predetermined threshold and it is determined that the difference rate of the watch calculated from the time sound data is out of a predetermined range, the notification data for urging inspection of the watch is output.

Furthermore, in the state evaluation method according to one aspect of the present invention, the state data acquisition function is an angular velocity frequency data acquisition function that acquires angular velocity frequency data collected by the sensor, and the angular velocity frequency data is based on at least The frequency of the angular velocity applied to the watch is represented by the range of two angular velocities, and the state evaluation function is a function of judging whether the frequency within the range of the angular velocity indicated by the angular velocity frequency data exceeds a predetermined threshold value exceeds a predetermined value The notification data output function is a function of outputting a signal indicating the watch when it is determined that the frequency within the range of the angular velocity indicated by the angular velocity frequency data exceeds the predetermined threshold value exceeds the predetermined threshold value. The notification data that the powerspring has been wound up.

Furthermore, in the state evaluation method according to one aspect of the present invention, the state data acquisition function is an angular velocity frequency data acquisition function that acquires angular velocity frequency data collected by the sensor, and the angular velocity frequency data is based on at least The frequency of the angular velocity applied to the watch is represented by the range of two angular velocities, and the state evaluation function is a function of judging whether the frequency within the range of the angular velocity indicated by the angular velocity frequency data exceeds a predetermined threshold value exceeds a predetermined value and the notification data output function is a function of outputting a prompt to send the Said notification data that the power spring of the watch winds up.

In addition, in the state evaluation method according to an aspect of the present invention, the state data acquisition function includes a temperature data acquisition function and a time sound data acquisition function, and the temperature data acquisition function acquires a data indicating the wristwatch collected by the sensor. temperature data of temperature, the time sound data acquisition function acquires time sound data representing the time sound of the watch collected by the sensor, and the state evaluation function is a function of: at the temperature indicated by the temperature data Next, it is judged whether the difference rate of the watch calculated from the time sound data deviates from a predetermined range, and the notification data output function is a function of: When the difference rate of the wristwatch calculated from the time sound data deviates from a predetermined range, the notification data for urging inspection of the wristwatch is output.

In addition, in the state evaluation method according to an aspect of the present invention, the state data acquisition function is a temperature data acquisition function for acquiring temperature data representing a time change in the temperature of the wristwatch collected by the sensor, and the The state evaluation function is a function of accumulating the time during which the temperature indicated by the temperature data is lower than a predetermined threshold value to calculate a cumulative non-carrying time that is the time that the watch is not carried by the user, and to determine the time when the watch is not carried by the user. Whether the cumulative non-carrying time exceeds a predetermined threshold value, the notification data output function is a function of outputting a prompt to send the power of the watch when it is determined that the cumulative non-carrying time exceeds a predetermined threshold value. The notification data is wrapped tightly.

In addition, in the state evaluation method according to one aspect of the present invention, the state data acquisition function includes a magnetic data acquisition function of acquiring magnetic data collected by the sensor and representing a temporal change in the magnetic intensity applied to the wristwatch , the state evaluation function includes a function of determining whether the magnetic intensity indicated by the magnetic data exceeds a predetermined threshold value, and the notification data output function includes a function of determining whether the magnetic intensity indicated by the magnetic data exceeds a predetermined threshold. When the intensity exceeds a predetermined threshold value, the notification data urging demagnetization of the wristwatch is output.

In addition, in the state evaluation method according to an aspect of the present invention, the state data acquisition function further includes a time sound data acquisition function for acquiring time sound data representing the time sound of the wristwatch collected by the sensor, so that the The state evaluation function further includes a function of determining whether or not the difference rate calculated from the time sound indicated by the time sound data deviates from a predetermined range, and the notification data output function further includes a function of: When the difference rate calculated by the time sound indicated by the time sound data deviates from a predetermined range, the notification data urging the watch to be inspected is output.

Furthermore, one aspect of the present invention is a wristwatch band equipped with a computer that executes any one of the above-described state evaluation methods.

Furthermore, one aspect of the present invention is a storage medium storing a program for executing any one of the above-described state evaluation methods.

According to the present invention, the state of any wristwatch can be evaluated, and the content and timing of an appropriate repair inspection can be notified.

Description of drawings

FIG. 1 is a diagram showing an example of the wristwatch of the first embodiment.

FIG. 2 is a diagram showing an example of a computer mounted on the wristwatch band of the first embodiment.

FIG. 3 is a diagram showing an example of an accuracy evaluation program executed by the CPU of the first embodiment.

4 is a diagram showing an example of the waveform of the time sound detected by the wristwatch band of the first embodiment.

5 is a diagram showing an example of the cumulative time sound generation time calculated by the wristwatch band of the first embodiment.

FIG. 6 is a flowchart showing an example of processing executed by the wristwatch band of the first embodiment.

7 is a diagram showing an example of a swing angle calculated by the wristwatch band of the second embodiment.

8 is a diagram showing an example of a cumulative driving time calculated by the wristwatch band of the second embodiment.

9 is a flowchart showing an example of processing executed by the wristwatch band of the second embodiment.

10 is a diagram showing an example of a swing angle calculated by the wristwatch band of the third embodiment.

11 is a flowchart showing an example of processing executed by the wristwatch band of the third embodiment.

12 is a diagram showing an example of a swing angle calculated by the wristwatch band of the fourth embodiment.

13 is a flowchart showing an example of processing executed by the wristwatch band of the fourth embodiment.

14 is a diagram showing an example of a swing angle in a flat posture calculated by the wristwatch band according to the fifth embodiment and a swing angle in a standing posture.

FIG. 15 is a flowchart showing an example of processing executed by the wristwatch band of the fifth embodiment.

16 is a flowchart showing an example of processing executed by the wristwatch band of the sixth embodiment.

17 is a diagram showing an example of a swing angle calculated by the wristwatch band of the seventh embodiment.

18 is a flowchart showing an example of processing executed by the wristwatch band of the seventh embodiment.

FIG. 19 is a diagram showing an example of a state evaluation program executed by the CPU according to the eighth embodiment.

20 is a diagram showing an example of the tendency of the posture of the wristwatch evaluated from the posture data by the wristwatch band according to the eighth embodiment.

21 is a diagram showing an example of the relationship between the posture of the wristwatch indicated by the posture data of the eighth embodiment, the difference rate calculated based on the time sound data, and the difference rate to be adjusted at the time of inspection.

22 is a flowchart showing an example of processing executed by the wristwatch band of the eighth embodiment.

23 is a diagram showing an example of the acceleration of the wristwatch indicated by the acceleration data of the ninth embodiment.

24 is a flowchart showing an example of processing executed by the wristwatch band of the ninth embodiment.

FIG. 25 is a diagram showing an example of the frequency of the angular velocity indicated by the angular velocity frequency data of the tenth embodiment.

26 is a diagram showing an example of the frequency of the angular velocity applied to the wristwatch indicated by the angular velocity frequency data of the tenth embodiment.

FIG. 27 is a flowchart showing an example of processing executed by the wristwatch band according to the tenth embodiment.

28 is a diagram showing an example of the frequency of the temperature of the wristwatch indicated by the temperature data of the eleventh embodiment.

29 is a diagram showing an example of the relationship between the temperature of the wristwatch indicated by the temperature data of the eleventh embodiment and the difference rate of the wristwatch calculated based on the time sound data.

30 is a flowchart showing an example of processing executed by the wristwatch band of the eleventh embodiment.

31 is a diagram showing an example of a time change in the temperature of the wristwatch indicated by the temperature data of the twelfth embodiment.

FIG. 32 is a flowchart showing an example of processing executed by the wristwatch band according to the twelfth embodiment.

FIG. 33 is a diagram showing an example of a temporal change of the magnetic intensity indicated by the time sound data according to the thirteenth embodiment.

34 is a flowchart showing an example of processing executed by the wristwatch band according to the thirteenth embodiment.

Label description

100: Watch; 10: Case; 20: Spring lever; 30: Watch strap; 31: Sensor; 32: Amplifier; 33: Filter; 34: Oscillation circuit; 35: Frequency division circuit; 36: ROM; 37: RAM; 38: CPU; 39: Communication part; 360: Accuracy evaluation program; 361: Time sound data acquisition function; 362: Accuracy evaluation function; 363: Notification data output function; 365: Status evaluation program; 366: Status data acquisition function ; 367: Status evaluation function; 368: Notification data output function.

Detailed ways

[First Embodiment]

The accuracy evaluation program of the first embodiment will be described with reference to FIGS. 1 to 5 . FIG. 1 is a diagram showing an example of the wristwatch of the first embodiment. FIG. 2 is a diagram showing an example of a computer mounted on the wristwatch band of the first embodiment. As shown in FIG. 1 , the watch 100 includes a watch case 10 , a spring lever 20 , and a watch band 30 .

The watch case 10 is a case housing a mechanical movement, an hour hand, a minute hand, a second hand, and the like, and is connected to the wristwatch band 30 via a spring lever 20 .

The watch band 30 includes a sensor 31, an amplifier 32, a filter 33, an oscillation circuit 34, a frequency dividing circuit 35, a ROM (Read Only Memory) 36, a RAM (Random Access Memory) 37, and a CPU (Central Processing Unit: Central Processing Unit) 38 and a communication unit 39 .

The sensor 31 is a device that measures physical quantities representing the state of the wristwatch 100 and generates state data representing the state of the wristwatch 100 , and the sensor 31 may include a plurality of sensors for measuring physical quantities different from each other. For example, the sensor 31 is a device that detects a time sound generated inside the wristwatch 100 and generates time sound data indicating the time sound. The time sound referred to here is, for example, a sound generated by the operation of the escapement included in the wristwatch 100 . That is, the time sound referred to here is, for example, a sound produced by the contact between the escape wheel and the pallet fork included in the wristwatch 100 . In addition, the sensor 31 is, for example, a piezoelectric element or a microphone. In addition, the sensor 31 is in contact with the spring lever 20 attached to the wristwatch 100, and can be pressed against the spring lever 20 by a spring or the like.

The sensor 31 detects the time sound by detecting the vibration transmitted through the case 10 and the spring lever 20 included in the wristwatch 100 . Alternatively, the time sound is detected by detecting the vibration transmitted through the watch case 10 of the wristwatch 100 and the vibration transmitted in the air. Then, the sensor 31 converts the detected time sound into analog or digital data, that is, the time sound data, and transmits it to the amplifier 32 . The amplifier 32 amplifies the amplitude of the waveform of the timing sound indicated by the timing sound data. The filter 33 removes noise contained in the waveform of the time sound amplified by the amplifier 32 and transmits the time sound data to the CPU 38 .

The oscillation circuit 34 generates a signal having a predetermined frequency (for example, a frequency of 32768 Hz) and sends it to the frequency dividing circuit 35 . The frequency dividing circuit 35 divides the frequency of the signal received from the oscillation circuit 34 to generate a clock signal serving as a reference for timing, and transmits the clock signal to the CPU 38 .

The ROM 36 stores a program (for example, the accuracy evaluation program 360 shown in FIG. 3 ) that is read out and executed by the CPU 38 . FIG. 3 is a diagram showing an example of an accuracy evaluation program executed by the CPU of the first embodiment. As shown in FIG. 3 , the accuracy evaluation program 360 includes a time sound data acquisition function 361 , an accuracy evaluation function 362 , and a notification data output function 363 . The accuracy evaluation program 360 is an example of a state evaluation program. In addition, the time sound data acquisition function 361 and the accuracy evaluation function 362 are examples of the state data acquisition function and the state evaluation function, respectively. The state data acquisition function acquires state data indicating the state of the wristwatch 100 collected by the sensor 31 mounted on the wristwatch band 30 attached to the wristwatch 100 . The state evaluation function executes state evaluation processing for evaluating the state of the wristwatch 100 based on the state data.

The time sound data acquisition function 361 is a function of acquiring time sound data representing the time sound of the wristwatch 100 , collected by the sensor 31 mounted on the wristwatch band 30 attached to the wristwatch 100 within a predetermined time. The predetermined time referred to here is a time set at an arbitrary timing within a predetermined period, and may be a periodic timing or an aperiodic timing. However, the number of times that the sensor 31 collects the time sound of the wristwatch 100 is preferably such that the battery of the wristwatch 100 is not consumed prematurely.

The accuracy evaluation function 362 is a function for executing an accuracy evaluation process for evaluating the accuracy of the time displayed by the wristwatch 100 based on the time sound data. Specifically, in the accuracy evaluation process, the accuracy evaluation function 362 adds up the time during which the time sound of the wristwatch 100 was collected, and calculates the accumulated time sound generation time.

4 is a diagram showing an example of the waveform of the time sound detected by the wristwatch band of the first embodiment. The period T11 and the period T12 shown in FIG. 4 are an example of a period in which the time sound is generated, that is, a period in which the wristwatch 100 is driven. The period T10 shown in FIG. 4 is an example of a period in which the time sound is not generated, that is, a period in which the wristwatch 100 is not driven.

After the period T11 ends, the accuracy evaluation function 362 takes the period T11 as the time when the time sound of the wristwatch 100 is collected, and calculates the length of the period T11 as the accumulated time sound generation time. Then, even if the period T10 ends, the accuracy evaluation function 362 does not integrate the period T10 as the time when the time sound of the wristwatch 100 is collected. Then, after the period T12 ends, the accuracy evaluation function 362 sets the period T11 and the period T12 as the time when the time sound of the wristwatch 100 was collected, and calculates the total value of the lengths of the period T11 and the period T12 as the accumulated time sound generation time. 5 is a diagram showing an example of the cumulative time sound generation time calculated by the wristwatch band of the first embodiment. For example, as shown in FIG. 5 , the accuracy evaluation function 362 updates the accumulated time sound generation time every time the time sound is generated by repeating the same process.

Then, the accuracy evaluation function 362 determines whether or not the cumulative time sound generation time exceeds a predetermined threshold value. For example, the accuracy evaluation function 362 determines whether or not the cumulative time sound generation time exceeds a threshold value indicated by the dotted line Th1 shown in FIG. 5 .

When a predetermined condition is satisfied in the state evaluation process, the notification data output function 363 outputs notification data indicating at least one of the result of the state evaluation process and the content of repair inspection based on the result. For example, when a predetermined condition is satisfied in the accuracy evaluation process, the notification data output function 363 outputs notification data indicating at least one of the result of the accuracy evaluation process and the content of repair inspection based on the result. For example, when it is determined in the accuracy evaluation process that the cumulative time sound generation time exceeds a predetermined threshold value, the notification data output function 363 outputs notification data for urging inspection of the watch. And, the notification data is output to other devices (for example, a smartphone, a tablet), and is output through a display or a speaker included in the other device.

The RAM 37 stores various, for example, timing sound data collected using the sensor 31 , the amplifier 32 , and the filter 33 . The CPU 38 reads out the program stored in the ROM 36 and executes it. The communication unit 39 performs communication with devices other than the wristwatch 100 (eg, a smartphone, a tablet). Further, the communication performed by the communication unit 39 is, for example, wireless communication such as Bluetooth (registered trademark).

Next, an example of processing executed by the wristwatch band of the first embodiment will be described with reference to FIG. 6 . FIG. 6 is a flowchart showing an example of processing executed by the wristwatch band of the first embodiment.

In step S11 , the wristwatch band 30 acquires time sound data indicating the time sound of the wristwatch 100 by the time sound data acquisition function 361 .

In step S12 , the wristwatch band 30 calculates the accumulated time sound generation time by accumulating the time during which the time sound of the wristwatch 100 was collected by the accuracy evaluation function 362 .

In step S13 , the wristwatch band 30 uses the accuracy evaluation function 362 to determine whether or not the cumulative time sound generation time calculated in step S12 exceeds a predetermined threshold value. When the wristwatch band 30 determines that the cumulative time sound generation time calculated in step S12 exceeds a predetermined threshold value (step S13: YES), the process proceeds to step S14, and when it is determined that the sound generation time calculated in step S12 is When the sound generation time of the accumulated time is equal to or less than the predetermined threshold value (step S13: NO), the process returns to step S11.

In step S14 , the wristwatch band 30 outputs notification data for urging inspection of the wristwatch 100 through the notification data output function 363 . Specifically, the wristwatch band 30 transmits the notification data to devices other than the wristwatch 100 using the communication unit 39 .

The accuracy evaluation program 360 of the first embodiment has been described above. The accuracy evaluation program 360 executes an accuracy evaluation process for evaluating the accuracy of the time displayed by the wristwatch 100 based on time sound data representing the time sound of the wristwatch 100 collected by the sensor 31 mounted on the wristwatch band 30 within a predetermined period of time. . Then, when a predetermined condition is satisfied in the accuracy evaluation process, the accuracy evaluation program 360 outputs notification data indicating at least one of the result of the accuracy evaluation process and the content of the repair inspection based on the result.

Therefore, even if the wristwatch 100 itself does not have the function of evaluating and notifying the accuracy of the time displayed by the wristwatch 100, the accuracy evaluation program 360 can evaluate the accuracy of the time displayed by the wristwatch 100 and notify the content and timing of the appropriate repair inspection. . Therefore, the accuracy evaluation program 360 can continue to use the wristwatch 100 such as a mechanical wristwatch that the user likes to use before, and can evaluate and notify the accuracy of the time displayed by the wristwatch 100 .

Then, when the accumulated time sound generation time obtained by adding up the time sounds of the wristwatch 100 exceeds a predetermined threshold, the accuracy evaluation program 360 outputs notification data for urging the wristwatch 100 to be inspected. That is, the accuracy evaluation program 360 determines whether or not to output notification data based on the time sound of the wristwatch 100 .

Therefore, since the accuracy evaluation program 360 does not convert the time sound data into other data, the load on the CPU 38 can be reduced, and the above-described effects can be achieved.

[Second Embodiment]

An accuracy evaluation program of the second embodiment will be described with reference to FIG. 7 . The accuracy evaluation function and the notification data output function of the accuracy evaluation program of the second embodiment are different from those of the accuracy evaluation program of the first embodiment. Therefore, in the second embodiment, the accuracy evaluation function and notification data will be mainly described, and descriptions of the same contents as those of the above-described first embodiment will be omitted as appropriate.

The accuracy evaluation function calculates the swing angle of the balance wheel included in the watch from the time sound of the watch in the accuracy evaluation process. Specifically, the accuracy evaluation function calculates the swing angle of the balance within a predetermined time. The predetermined time here refers to a time set at an arbitrary timing within a predetermined period, and may be a periodic timing or an aperiodic timing. In addition, when the predetermined time is a time set at a periodic timing, the period is, for example, 24 hours.

7 is a diagram showing an example of a swing angle calculated by the wristwatch band of the second embodiment. FIG. 7 shows an example of the swing angle of the balance calculated every 24 hours by the accuracy evaluation function. The period T21 and the period T22 shown in FIG. 7 are an example of a period in which the swing angle exceeds a predetermined threshold value, that is, a period in which the wristwatch is driven. A period T20 shown in FIG. 7 is an example of a period in which the swing angle is equal to or less than a predetermined threshold value, that is, a period in which the wristwatch is not driven.

After the period T21 ends, the accuracy evaluation function estimates that the wristwatch has been driven during the period T21, and calculates the length of the period T21 as the accumulated driving time. Then, even if the period T20 ends, the accuracy evaluation function 362 estimates that the wristwatch is not driven during the period T20, and does not accumulate the length of the period T20 as the time during which the wristwatch is driven. Then, the accuracy evaluation function 362 estimates that the wristwatch was driven during the period T22, and calculates the total value of the lengths of the period T21 and the period T22 as the accumulated driving time. Then, the accuracy evaluation function updates the accumulated drive time according to the set timing by repeating the same process.

Then, the accuracy evaluation function determines whether or not the accumulated driving time exceeds a predetermined threshold value. 8 is a diagram showing an example of a cumulative driving time calculated by the wristwatch band of the second embodiment. The dotted line Th21 shown in FIG. 8 represents this predetermined threshold value. For example, the accuracy evaluation function determines whether or not the accumulated driving time exceeds a threshold value indicated by a dotted line Th21 shown in FIG. 8 .

When it is determined in the accuracy evaluation process that the accumulated driving time exceeds a predetermined threshold value, the notification data output function outputs notification data for urging inspection of the watch.

Next, an example of processing executed by the wristwatch band of the second embodiment will be described with reference to FIG. 9 . 9 is a flowchart showing an example of processing executed by the wristwatch band of the second embodiment.

In step S21, the wristwatch band acquires time sound data indicating the time sound of the wristwatch by the time sound data acquisition function.

In step S22, the wristwatch band calculates the swing angle of the balance wheel of the wristwatch based on the time sound of the wristwatch through the accuracy evaluation function, and calculates the time during which the wristwatch is driven by accumulating the time during which the swing angle exceeds a predetermined threshold value. That is, the accumulated driving time.

In step S23, the wristwatch band uses the accuracy evaluation function to determine whether or not the accumulated driving time calculated in step S22 exceeds a predetermined threshold value. When it is determined that the cumulative driving time calculated in step S22 exceeds a predetermined threshold value (step S23: YES), the watch band advances the process to step S24, and when it is determined that the cumulative driving time calculated in step S22 is When it is equal to or less than the predetermined threshold value (step S23: NO), the process returns to step S21.

In step S24, the wristwatch band outputs notification data for urging the watch to be inspected by the notification data output function.

The accuracy evaluation program of the second embodiment has been described above. The accuracy evaluation program of the second embodiment calculates the swing angle of the balance wheel included in the wristwatch from the time sound collected by the sensor mounted on the wristwatch band for a predetermined time, and accumulates the time during which the swing angle exceeds a predetermined threshold to obtain The accumulated driving time is calculated when the watch is driven. Then, when it is determined that the accumulated driving time exceeds a predetermined threshold value, the accuracy evaluation program of the second embodiment outputs notification data for urging inspection of the watch.

Therefore, even if the wristwatch itself does not have the function of evaluating and notifying the accuracy of the time displayed by the wristwatch, the accuracy evaluation program of the second embodiment can evaluate the accuracy of the time displayed by the wristwatch and notify the contents of an appropriate repair inspection. and period. Therefore, the accuracy evaluation program can continue to use a wristwatch such as a mechanical wristwatch that the user likes to use before, and can evaluate and notify the accuracy of the time displayed by the wristwatch.

The accuracy evaluation program of the second embodiment calculates the swing angle of the balance wheel included in the watch from the time sound of the watch, and determines whether or not to output notification data based on the swing angle. In addition, the noise of the swing angle is smaller than that of the timing sound. Therefore, the accuracy evaluation program of the second embodiment can output notification data after the determination of whether or not the accumulated driving time exceeds a predetermined threshold value has been accurately performed.

[Third Embodiment]

An accuracy evaluation routine of the third embodiment will be described with reference to FIG. 10 . The accuracy evaluation function and the notification data output function of the accuracy evaluation program of the third embodiment are different from the above-described two accuracy evaluation programs. Therefore, in the third embodiment, the accuracy evaluation function and the notification data will be mainly described, and the description of the same contents as those of the above-mentioned two embodiments will be omitted as appropriate.

The accuracy evaluation function calculates the swing angle of the balance wheel included in the watch from the time sound of the watch in the accuracy evaluation process. Specifically, the accuracy evaluation function calculates the swing angle of the balance within a predetermined time. The predetermined time referred to here is a time set at an arbitrary timing within a predetermined period, and may be a periodic timing or an aperiodic timing. In addition, when the predetermined time is a time set at a periodic timing, the period is, for example, 24 hours.

10 is a diagram showing an example of a swing angle calculated by the wristwatch band of the third embodiment. FIG. 10 shows an example of the swing angle of the balance calculated every 24 hours by the accuracy evaluation function. The swing angle calculated by the accuracy evaluation function may decrease over time. This is because the amount of lubricating oil adhering to the components constituting the movement included in the watch decreases, or the power spring included in the watch deteriorates, thereby increasing the resistance during movement of the movement. Or the powerspring doesn't have enough torque. In addition, the power spring is assembled to the barrel wheel, and serves as a power source for driving the wristwatch 100 . Also, the power spring has an effect on the duration and torque of the watch 100 .

Then, the accuracy evaluation function determines whether or not the swing angle is equal to or less than a predetermined threshold value. For example, the accuracy evaluation function determines whether or not the swing angle is equal to or smaller than the threshold value indicated by the dotted line Th3 shown in FIG. 10 .

When it is determined in the accuracy evaluation process that the swing angle is equal to or less than a predetermined threshold value, the notification data output function outputs notification data for urging inspection of the watch.

Next, an example of processing executed by the wristwatch band of the third embodiment will be described with reference to FIG. 11 . 11 is a flowchart showing an example of processing executed by the wristwatch band of the third embodiment.

In step S31, the wrist watch band acquires time sound data indicating the time sound of the wrist watch by the time sound data acquisition function.

In step S32, the wristwatch band passes the accuracy evaluation function, and calculates the swing angle of the balance wheel included in the wristwatch based on the time sound of the wristwatch.

In step S33, the wristwatch band uses the accuracy evaluation function to determine whether or not the swing angle calculated in step S32 is equal to or less than a predetermined threshold value. When it is determined that the swing angle calculated in step S32 is less than or equal to the predetermined threshold value (step S33: YES), the watch band advances the process to step S34, and when it is determined that the swing angle calculated in step S32 exceeds When the predetermined threshold value is reached (step S33: NO), the process returns to step S31.

In step S34, the watch band outputs notification data for urging the watch to be inspected by the notification data output function.

The accuracy evaluation program of the third embodiment has been described above. The accuracy evaluation program of the third embodiment calculates the swing angle of the balance wheel included in the wristwatch based on the time sound collected by the sensor mounted on the wristwatch band within a predetermined time. Then, when it is determined that the swing angle is equal to or less than a predetermined threshold value, the accuracy evaluation program of the third embodiment outputs notification data for urging inspection of the watch.

Therefore, even if the wristwatch itself does not have the function of evaluating and notifying the accuracy of the time displayed by the wristwatch, the accuracy evaluation program of the third embodiment can evaluate the accuracy of the time displayed by the wristwatch and notify the contents of an appropriate repair inspection. and period. Therefore, the accuracy evaluation program can continue to use a wristwatch such as a mechanical wristwatch that the user likes to use before, and can evaluate and notify the accuracy of the time displayed by the wristwatch.

In addition, in the third embodiment, an example in which the accuracy evaluation function calculates the swing angle of the balance and determines whether or not to output notification data based on the swing angle is described, but the present invention is not limited to this. For example, the accuracy evaluation function may calculate swing angles at different timings, and determine whether or not to output notification data based on statistical values (eg, average value, maximum value, and minimum value) of the plurality of swing angles.

[Fourth Embodiment]

An accuracy evaluation routine of the fourth embodiment will be described with reference to FIG. 12 . The accuracy evaluation function and the notification data output function of the accuracy evaluation program of the fourth embodiment are different from the above-described three accuracy evaluation programs. Therefore, in the fourth embodiment, the accuracy evaluation function and the notification data will be mainly described, and the description of the same contents as those of the above-mentioned three embodiments will be omitted as appropriate.

The accuracy evaluation function calculates the swing angle of the balance wheel included in the watch from the time sound of the watch in the accuracy evaluation process. Specifically, the accuracy evaluation function calculates the swing angle of the balance within a predetermined time. The predetermined time referred to here is a time set at an arbitrary timing within a predetermined period, and may be a periodic timing or an aperiodic timing. In addition, when the predetermined time is a time set at a periodic timing, the period is, for example, 24 hours.

12 is a diagram showing an example of a swing angle calculated by the wristwatch band of the fourth embodiment. FIG. 12 shows an example of the swing angle of the balance calculated every 24 hours by the accuracy evaluation function. The period T41 and the period T42 shown in FIG. 12 are examples of periods in which the swing angle of the balance wheel included in the wristwatch is within the normal range. The period T40 shown in FIG. 12 is an example of a period in which the difference ratio is out of the predetermined range because the swing angle of the balance wheel included in the wristwatch is too large. The phenomenon that the swing angle of the balance wheel is too large is also called overtravel. For example, as shown in FIG. 12 , the accuracy evaluation function calculates the swing angle with respect to the timing based on the timing sound data representing the timing sound generated at each set timing.

Then, the accuracy evaluation function determines whether or not the swing angle exceeds a predetermined threshold value. For example, the accuracy evaluation function determines whether or not the swing angle exceeds a threshold value (eg, 360 degrees) shown by the dotted line Th4 shown in FIG. 12 . In this case, the swing angle does not exceed 360 degrees in the period T41 and the period T42 shown in FIG. 12 , but exceeds 360 degrees in the period T40 shown in FIG. 12 . Therefore, in this case, the accuracy evaluation function determines that the swing angle exceeds the predetermined threshold value.

When it is determined in the accuracy evaluation process that the swing angle exceeds a predetermined threshold value, the notification data output function outputs notification data indicating that overtravel has occurred.

Next, an example of processing executed by the wristwatch band of the fourth embodiment will be described with reference to FIG. 13 . 13 is a flowchart showing an example of processing executed by the wristwatch band of the fourth embodiment.

In step S41, the wristwatch band acquires time sound data indicating the time sound of the wristwatch by the time sound data acquisition function.

In step S42, the wristwatch band passes the accuracy evaluation function, and calculates the swing angle of the balance wheel included in the wristwatch based on the time sound of the wristwatch.

In step S43, the wristwatch band uses the accuracy evaluation function to determine whether or not the swing angle calculated in step S42 exceeds a predetermined threshold value. When it is determined that the swing angle calculated in step S42 exceeds a predetermined threshold value (step S43: YES), the watch band advances the process to step S44, and when it is determined that the swing angle calculated in step S42 is When it is equal to or less than the predetermined threshold value (step S43: NO), the process returns to step S41.

In step S44, when it is determined that the calculated swing angle exceeds the predetermined threshold value, the wristwatch band outputs notification data indicating that overtravel has occurred by the notification data output function.

The accuracy evaluation program of the fourth embodiment has been described above. The accuracy evaluation program of the fourth embodiment calculates the swing angle of the balance wheel included in the wristwatch based on the time sound collected by the sensor mounted on the wristwatch band within a predetermined time. Then, when it is determined that the swing angle exceeds a predetermined threshold, the accuracy evaluation program of the fourth embodiment calculates the difference rate of the watch based on the time sound of the watch, and outputs notification data indicating that the difference rate deviates from the predetermined range .

Therefore, even if the wristwatch itself does not have the function of evaluating and notifying the accuracy of the time displayed by the wristwatch, the accuracy evaluation program of the fourth embodiment can evaluate the accuracy of the time displayed by the wristwatch and notify the contents of an appropriate repair inspection. and period. Therefore, the accuracy evaluation program can continue to use a wristwatch such as a mechanical wristwatch that the user likes to use before, and can evaluate and notify the accuracy of the time displayed by the wristwatch.

In addition, in the fourth embodiment, an example in which the accuracy evaluation function calculates the swing angle of the balance and determines whether or not to output notification data based on the swing angle is described, but the present invention is not limited to this. For example, the accuracy evaluation function may calculate swing angles at different timings, and determine whether or not to output notification data based on statistical values (eg, average value, maximum value) of the plurality of swing angles.

[Fifth Embodiment]

An accuracy evaluation routine of the fifth embodiment will be described with reference to FIG. 14 . The accuracy evaluation function and the notification data output function of the accuracy evaluation program of the fifth embodiment are different from the above-described four accuracy evaluation programs. Therefore, in the fifth embodiment, the accuracy evaluation function and the notification data will be mainly described, and the description of the same contents as those of the above-mentioned four embodiments will be omitted as appropriate.

The accuracy evaluation function calculates the swing angle of the balance wheel included in the watch based on the time sound of the watch. Next, the accuracy evaluation function calculates the cumulative non-carrying time obtained by accumulating the non-carrying time, and the non-carrying time is the time during which the swing angle fluctuates within a predetermined fluctuation range within a predetermined period. , which represents the time when the watch is not being carried. The predetermined period referred to here is, for example, several seconds to several minutes. In addition, the predetermined fluctuation range mentioned here is, for example, 20 degrees to 30 degrees.

14 is a diagram showing an example of a swing angle in a flat posture calculated by the wristwatch band of the fifth embodiment and a swing angle in a standing posture. The swing angle of the balance wheel changes when the watch is in the flat and upright positions. Flat posture refers to a posture in which the plane parallel to the dial of the watch is perpendicular to the direction of gravity. When the watch is in a flat position, the weight applied to the hairspring becomes smaller, so the swing angle tends to become relatively large. On the other hand, the standing posture is a posture in which a plane parallel to the dial of the watch is parallel to the direction of gravity. When the watch is in an upright position, the weight applied to the hairspring increases, so the swing angle tends to be relatively small. In addition, the above-mentioned predetermined fluctuation range is a predetermined time Th5 shown in FIG. 14 , for example, 20 degrees to 30 degrees. In addition, the hairspring is attached to the balance wheel, which affects the accuracy of the time indicated by the wristwatch 100 .

When the wristwatch is carried by the user, the wristwatch alternately assumes a flat posture and a standing posture for several seconds to several minutes, and the fluctuation range of the swing angle increases, so it is determined that the wristwatch is being carried. On the other hand, when the wristwatch is not carried by the user, the wristwatch assumes a flat posture or a standing posture for a long time, and the fluctuation range of the swing angle decreases, so it is determined that the wristwatch is not carried.

Then, the accuracy evaluation function determines whether or not the accumulated non-carrying time exceeds the duration of the watch. The duration mentioned here refers to the time from when the power spring is fully wound up to when the power spring is completely released.

When it is determined in the accuracy evaluation process that the accumulated non-carrying time exceeds the duration time of the watch, the notification data output function outputs notification data urging the power spring of the watch to be wound up.

Next, an example of processing executed by the wristwatch band of the fifth embodiment will be described with reference to FIG. 14 . 14 is a flowchart showing an example of processing executed by the wristwatch band of the fifth embodiment.

In step S51, the wristwatch band acquires time sound data indicating the time sound of the wristwatch by the time sound data acquisition function.

In step S52, the watch band passes the accuracy evaluation function, calculates the swing angle of the balance wheel of the watch according to the time sound of the watch, and calculates the accumulated non-carrying time obtained by accumulating the non-carrying time. The carrying time is the time during which the swing angle fluctuates within a predetermined fluctuation range within a predetermined period, and represents the time during which the watch is not carried.

In step S53, the wristwatch band uses the accuracy evaluation function to determine whether or not the accumulated non-carrying time calculated in step S52 exceeds the duration of the wristwatch. When it is determined that the cumulative non-carrying time calculated in step S52 exceeds the duration of the watch (step S53: YES), the watch band advances the process to step S54, and when it is determined that the time calculated in step S52 is When the accumulated non-carrying time is equal to or less than the duration of the watch (step S53: NO), the process returns to step S51.

In step S54, the wristwatch band outputs notification data for prompting to wind up the power spring of the wristwatch by the notification data output function.

The accuracy evaluation program of the fifth embodiment has been described above. The accuracy evaluation program of the fifth embodiment calculates the swing angle of the balance wheel included in the watch based on the time sound of the watch, and calculates the accumulated non-carrying time obtained by accumulating the non-carrying time, the non-carrying time being the swing angle at The time during which the watch fluctuates by a predetermined fluctuation range or less within a predetermined period indicates the time during which the watch is not carried. Then, when it is determined that the accumulated non-carrying time exceeds the duration time of the watch, the accuracy evaluation program outputs notification data for urging winding up of the power spring of the watch.

Therefore, even if the wristwatch itself does not have the function of evaluating and notifying the accuracy of the time displayed by the wristwatch, the accuracy evaluation program of the fifth embodiment can evaluate the accuracy of the time displayed by the wristwatch and notify the contents of an appropriate repair inspection. and period. Therefore, the accuracy evaluation program can continue to use a wristwatch such as a mechanical wristwatch that the user likes to use before, and can evaluate and notify the accuracy of the time displayed by the wristwatch.

[Sixth Embodiment]

An accuracy evaluation program of the sixth embodiment will be described. The accuracy evaluation function and the notification data output function of the accuracy evaluation program of the sixth embodiment are different from the above-described five accuracy evaluation programs. Therefore, in the sixth embodiment, the accuracy evaluation function and the notification data will be mainly described, and the description of the same contents as those of the above-mentioned five embodiments will be omitted as appropriate.

The accuracy evaluation function calculates the swing angle of the balance wheel included in the watch based on the time sound of the watch. Next, the accuracy evaluation function calculates the cumulative carrying time obtained by adding up the carrying time, which is the time during which the swing angle fluctuates more than a predetermined fluctuation width within a predetermined period. The predetermined period referred to here is, for example, several seconds to several minutes. In addition, the predetermined fluctuation range mentioned here is, for example, 20 degrees to 30 degrees.

Then, the accuracy evaluation function determines whether or not the time obtained by multiplying the accumulated carrying time by a predetermined coefficient in consideration of the body temperature of the user wearing the watch exceeds the predetermined time. The coefficient referred to here is a coefficient determined in consideration of the phenomenon that the lubricating oil applied to the components of the movement of the watch is heated and degraded by the body temperature of the user who carries the watch. When the lubricating oil is degraded, the resistance of the movement during operation increases, so the accuracy of the time displayed by the watch may decrease.

When it is determined in the accuracy evaluation process that the time obtained by multiplying the accumulated carrying time by a predetermined coefficient exceeds the predetermined time, the notification data output function outputs notification data for urging inspection of the watch.

Next, an example of processing executed by the wristwatch band of the sixth embodiment will be described with reference to FIG. 16 . 16 is a flowchart showing an example of processing executed by the wristwatch band of the sixth embodiment.

In step S61, the wristwatch band acquires time sound data indicating the time sound of the wristwatch by the time sound data acquisition function.

In step S62, the watch band passes the accuracy evaluation function, and calculates the swing angle of the balance wheel of the watch according to the time sound of the watch, and calculates the cumulative carrying time obtained by accumulating the carrying time, the carrying time It is the time when the swing angle fluctuates more than a predetermined fluctuation width within a predetermined period.

In step S63, the wristwatch band uses the accuracy evaluation function to determine whether or not the time obtained by multiplying the accumulated carrying time calculated in step S62 by a predetermined coefficient that takes the body temperature of the user carrying the watch into consideration exceeds a predetermined time. . When it is determined that the time obtained by multiplying the accumulated carrying time calculated in step S62 by a predetermined coefficient has exceeded the predetermined time (step S63: YES), the watch band advances the process to step S64, and after determining When the time obtained by multiplying the accumulated carrying time calculated in step S62 by a predetermined coefficient is equal to or less than the predetermined time (step S63: NO), the process returns to step S61.

In step S64, the watch band outputs notification data for urging the watch to be inspected by the notification data output function.

The accuracy evaluation program of the sixth embodiment has been described above. The accuracy evaluation program of the sixth embodiment calculates the swing angle of the balance wheel included in the watch from the time sound of the watch in the accuracy evaluation process, and calculates the cumulative carrying time obtained by accumulating the carrying time, which is the swing angle. The time during which the fluctuation exceeds the predetermined fluctuation range within a predetermined period. Then, when it is determined that the time obtained by multiplying the accumulated carrying time by a predetermined coefficient exceeds the predetermined time, the accuracy evaluation program outputs notification data for urging inspection of the watch.

Therefore, even if the wristwatch itself does not have the function of evaluating and notifying the accuracy of the time displayed by the wristwatch, the accuracy evaluation program of the sixth embodiment can evaluate the accuracy of the time displayed by the wristwatch and notify the contents of an appropriate repair inspection. and period. Therefore, the accuracy evaluation program can continue to use a wristwatch such as a mechanical wristwatch that the user likes to use before, and can evaluate and notify the accuracy of the time displayed by the wristwatch.

[Seventh Embodiment]

An accuracy evaluation routine of the seventh embodiment will be described with reference to FIG. 17 . The accuracy evaluation function and the notification data output function of the accuracy evaluation program of the seventh embodiment are different from the above-described six accuracy evaluation programs. Therefore, in the seventh embodiment, the accuracy evaluation function and the notification data will be mainly described, and the description of the same contents as those of the above-mentioned six embodiments will be omitted as appropriate.

The accuracy evaluation function calculates the difference rate of the balance wheel included in the watch based on the time sound of the watch. Specifically, the accuracy evaluation function calculates the difference rate of the watch within a predetermined time. The predetermined time referred to here is a time set at an arbitrary timing within a predetermined period, and may be a periodic timing or an aperiodic timing. In addition, when the predetermined time is a time set at a periodic timing, the period is, for example, 24 hours.

FIG. 17 is a diagram showing an example of a difference ratio calculated by the wristwatch band of the seventh embodiment. FIG. 17 shows an example of the difference rate of the wristwatch calculated every 24 hours by the accuracy evaluation function.

The accuracy evaluation function determines whether or not the amount of change in the difference rate exceeds a predetermined threshold. For example, as shown in FIG. 17 , the accuracy evaluation function calculates the difference rate shown by the broken line D72 after calculating the difference rate shown by the broken line D71, and determines whether the difference V7 between the two difference rates exceeds a predetermined threshold value.

When it is determined that the amount of change in the difference rate exceeds a predetermined threshold value, the notification data output function outputs notification data urging demagnetization or repair of the watch. This is because, when the difference ratio of the watch is greatly increased or decreased and the increased or decreased difference rate is maintained, the components constituting the movement of the watch are often damaged or magnetized by an external magnetic field.

Next, an example of processing executed by the wristwatch band of the seventh embodiment will be described with reference to FIG. 18 . 18 is a flowchart showing an example of processing executed by the wristwatch band of the seventh embodiment.

In step S71, the wristwatch band acquires time sound data indicating the time sound of the wristwatch by the time sound data acquisition function.

In step S72, the wristwatch band passes the accuracy evaluation function, and calculates the difference rate of the wristwatch based on the time sound of the wristwatch.

In step S73, the wristwatch band uses the accuracy evaluation function to determine whether or not the amount of change in the difference rate calculated in step S72 exceeds a predetermined threshold value. When it is determined that the amount of change in the difference rate calculated in step S72 exceeds a predetermined threshold (step S73: YES), the watch band advances the process to step S74, and when it is determined that the amount of change calculated in step S72 is When the amount of change in the difference rate is equal to or less than the predetermined threshold value (step S73: NO), the process returns to step S71.

In step S74, the wristwatch band outputs notification data urging demagnetization or repair of the wristwatch by the notification data output function.

The accuracy evaluation program of the seventh embodiment has been described above. The accuracy evaluation program of the seventh embodiment calculates the difference rate of the watch within a predetermined period based on the time sound of the watch. Then, when it is determined that the amount of change in the difference rate exceeds a predetermined threshold value, the accuracy evaluation program outputs notification data urging demagnetization or repair of the wristwatch.

Therefore, even if the wristwatch itself does not have the function of evaluating and notifying the accuracy of the time displayed by the wristwatch, the accuracy evaluation program of the seventh embodiment can evaluate the accuracy of the time displayed by the wristwatch and notify the contents of an appropriate repair inspection. and period. Therefore, the accuracy evaluation program can continue to use a wristwatch such as a mechanical wristwatch that the user likes to use before, and can evaluate and notify the accuracy of the time displayed by the wristwatch.

[Eighth Embodiment]

The state evaluation routine of the eighth embodiment will be described with reference to FIGS. 19 to 21 . In addition, in the eighth embodiment, descriptions of the same contents as those of the above-mentioned seven embodiments are appropriately omitted.

FIG. 19 is a diagram showing an example of a state evaluation program executed by the CPU according to the eighth embodiment. As shown in FIG. 19 , the state evaluation program 365 has a state data acquisition function 366 , a state evaluation function 367 , and a notification data output function 368 .

The state data acquisition function 366 acquires state data indicating the state of the wristwatch, which is collected by a sensor mounted on a wristwatch strap attached to the wristwatch. Specifically, the state data acquisition function 366 includes a posture data acquisition function and a time sound data acquisition function.

The posture data acquisition function acquires posture data representing the posture of the wristwatch collected by the sensor. In this case, the sensor includes an acceleration sensor. The posture data is data indicating the posture of the wristwatch determined from the acceleration of the wristwatch measured by the acceleration sensor within a predetermined period. In addition, the posture data may be data indicating the posture of the wristwatch determined from the statistical value of the acceleration of the wristwatch measured by the acceleration sensor within a predetermined period. The statistical value referred to here is, for example, a maximum value, a minimum value, an average value, and a median value.

FIG. 20 is a diagram showing an example of the tendency of the posture of the wristwatch evaluated based on the posture data of the wristwatch band according to the eighth embodiment. The horizontal axis of FIG. 20 represents the posture of the watch, and the vertical axis represents the frequency of each posture of the watch.

"On the dial" shown in FIG. 20 indicates a posture in which the dial of the watch faces the direction opposite to the direction of gravity. "Under the dial" shown in FIG. 20 represents the posture of the dial of the watch facing the direction of gravity. "3 o'clock up", "6 o'clock up", "9 o'clock up" and "12 o'clock up" shown in Fig. 20 respectively indicate the following postures: from the point supporting the hour hand, etc. to the 3 o'clock and 6 o'clock on the dial , 9 o'clock and 12 o'clock each hour numerals are oriented in the opposite direction to the direction of gravity. In addition, the frequency shown in FIG. 20 is a value obtained by summing up the posture data according to the posture of the corresponding watch.

The time sound data acquisition function acquires time sound data representing the time sound of the wristwatch collected by the sensor.

The state evaluation function 367 executes state evaluation processing for evaluating the state of the wristwatch based on the state data. Specifically, the state evaluation function 367 evaluates the tendency of the posture of the watch based on the posture data, and calculates the difference rate of the watch based on the time sound indicated by the time sound data.

When predetermined conditions are satisfied in the state evaluation process, the notification data output function 368 outputs notification data indicating at least one of the result of the state evaluation process and the content of repair inspection based on the result. Specifically, when it is determined that the difference rate of the watch is out of the predetermined range, the notification data output function 368 outputs notification data for urging inspection of the watch according to the tendency of the posture of the watch shown in FIG. 20 .

21 is a diagram showing an example of the relationship between the posture of the wristwatch indicated by the posture data of the eighth embodiment, the difference rate calculated based on the time sound data, and the difference rate to be adjusted at the time of inspection. The first, second, and third columns of FIG. 21 respectively indicate the posture of the watch indicated by the posture data, the difference rate of the watch calculated based on the time sound data, and the difference rate to be adjusted during inspection.

For example, as shown in FIG. 20 , the frequency of the posture of “on 6 o’clock” is higher than that of other postures, and as shown in the fifth row and second column of FIG. 21 , the difference calculated based on the time sound data is “-4. ”, the notification data output function 368 outputs notification data urging adjustment of the difference rate to “+5” at the time of inspection. Thereby, the negative difference rate based on the posture tendency and the positive difference rate based on the inspection are canceled, so that the watch can display a more accurate time.

Next, an example of processing executed by the wristwatch band of the eighth embodiment will be described with reference to FIG. 22 . 22 is a flowchart showing an example of processing executed by the wristwatch band of the eighth embodiment.

In step S81, the state data acquisition function 366 acquires posture data indicating the posture of the wristwatch.

In step S82, the state evaluation function 367 evaluates the tendency of the posture of the wristwatch indicated by the posture data.

In step S83, the status data acquisition function 366 acquires time sound data representing the time sound of the wristwatch.

In step S84, the state evaluation function 367 calculates the difference rate of the watch based on the time sound of the watch indicated by the time sound data.

In step S85, the state evaluation function 367 determines whether or not the difference rate calculated in step S84 deviates from a predetermined range. When it is determined that the difference rate calculated in step S84 is out of the predetermined range (step S85: YES), the state evaluation function 367 advances the process to step S86. On the other hand, when it is determined that the difference rate calculated in step S84 is within the predetermined range (step S85: NO), the state evaluation function 367 returns the process to step S81.

In step S86, the notification data output function 368 outputs notification data for urging inspection of the watch based on the tendency of the posture of the watch evaluated in step S82.

The state evaluation program of the eighth embodiment has been described above. The state evaluation program evaluates the tendency of the posture of the watch from the posture data, calculates the difference rate of the watch from the time sound indicated by the time sound data, and determines whether the difference rate of the watch deviates from a predetermined range. Then, when it is determined that the difference rate of the watch is out of the predetermined range, the state evaluation program outputs notification data for urging inspection of the watch based on the tendency of the posture of the watch. Thereby, the state evaluation program can evaluate the posture and the difference rate of the watch, and notify the appropriate repair inspection content based on the difference rate.

[Ninth Embodiment]

The state evaluation routine of the ninth embodiment will be described with reference to FIG. 23 . In addition, in the ninth embodiment, descriptions of the same contents as those of the eighth embodiment described above are appropriately omitted. The state evaluation program has a state data acquisition function, a state evaluation function, and a notification data output function.

The state data acquisition function acquires state data representing the state of the wristwatch, which is collected by a sensor mounted on a wristwatch strap attached to the wristwatch. Specifically, the state data acquisition function includes an acceleration data acquisition function and a time sound data acquisition function.

The acceleration data acquisition function acquires acceleration data representing the acceleration of the wristwatch collected by the sensor. In this case, the sensor includes an acceleration sensor. 23 is a diagram showing an example of the acceleration of the wristwatch indicated by the acceleration data of the ninth embodiment. The acceleration data is, for example, data representing the temporal change of the acceleration of the wristwatch as shown in FIG. 23 . In addition, the acceleration data may not be data indicating the temporal change of the acceleration of the wristwatch, but may be data indicating the acceleration of the wristwatch or a statistical value thereof measured within a predetermined period. In addition, the statistical value referred to here is, for example, a maximum value, a minimum value, an average value, and a median value.

The time sound data acquisition function acquires time sound data representing the time sound of the wristwatch collected by the sensor.

The state evaluation function determines whether or not the acceleration indicated by the acceleration data exceeds a predetermined threshold value and the difference rate of the watch calculated from the time sound data deviates from a predetermined range. The predetermined threshold value related to the acceleration is, for example, a threshold value indicated by a dotted line Th9 shown in FIG. 23 , and is used to determine whether or not the acceleration of the wristwatch has increased due to a drop or the like. When the watch is used as usual, the acceleration of the watch is about several G to several tens of G, and when the watch falls, etc., the acceleration of the watch is several thousand G to tens of thousands of G. Therefore, the predetermined threshold value used for the above-mentioned determination can be set relatively easily.

When it is determined that the acceleration indicated by the acceleration data exceeds a predetermined threshold value and that the difference rate of the watch calculated from the time sound data is outside the predetermined range, the notification data output function outputs notification data urging the watch to be inspected.

Next, an example of processing executed by the wristwatch band of the ninth embodiment will be described with reference to FIG. 24 . 24 is a flowchart showing an example of processing executed by the wristwatch band of the ninth embodiment.

In step S91, the state data acquisition function acquires acceleration data indicating the acceleration of the wristwatch.

In step S92, the status data acquisition function acquires time sound data representing the time sound of the wristwatch.

In step S93, the state evaluation function calculates the difference rate of the watch based on the time sound of the watch indicated by the time sound data acquired in step S92.

In step S94, the state evaluation function determines whether or not the acceleration acquired in step S91 exceeds a predetermined threshold value. When it is determined that the acceleration acquired in step S91 exceeds a predetermined threshold value (step S94: YES), the state evaluation function advances the process to step S95. On the other hand, when it is determined that the acceleration acquired in step S91 is equal to or less than the predetermined threshold value (step S94: NO), the state evaluation function returns the process to step S91.

In step S95, the state evaluation function determines whether or not the difference rate of the wristwatch calculated in step S93 deviates from a predetermined range. When it is determined that the difference rate of the wristwatch calculated in step S93 is out of the predetermined range (step S95: YES), the state evaluation function advances the process to step S96. On the other hand, when it is determined that the difference rate of the wristwatch calculated in step S93 falls within the predetermined range (step S95: NO), the state evaluation function returns the process to step S91.

In step S96, the notification data output function outputs notification data for urging inspection of the watch.

The state evaluation program of the ninth embodiment has been described above. When it is determined that the acceleration indicated by the acceleration data exceeds a predetermined threshold value and that the difference rate of the watch calculated from the time sound data is out of the predetermined range, the state evaluation program outputs notification data for urging inspection of the watch. Thereby, the state evaluation program can evaluate the acceleration and the differential rate of the wristwatch, and notify the appropriate repair inspection contents based on the acceleration and the differential rate.

[Tenth Embodiment]

The state evaluation routine of the tenth embodiment will be described with reference to FIGS. 25 and 26 . In addition, in the tenth embodiment, descriptions of the same contents as those of the above-mentioned nine embodiments are appropriately omitted. In addition, the wristwatch of the tenth embodiment has a rotary hammer for automatically winding up the power spring. The state evaluation program has a state data acquisition function, a state evaluation function, and a notification data output function.

The state data acquisition function acquires the angular velocity frequency data collected by the sensor. In this case, the sensor includes a gyro sensor.

The angular velocity frequency data is data representing the frequency of the angular velocity applied to the wristwatch in a range of at least two angular velocities. The angular velocity applied to the wristwatch is measured, for example, by a gyro sensor within a predetermined period. In addition, the angular velocity indicated by the angular velocity frequency data may be an angular velocity measured by a gyro sensor, or may be a statistical value of the angular velocity. The statistical value referred to here is, for example, a maximum value, a minimum value, an average value, and a median value.

25 and 26 are diagrams each showing an example of the frequency of the angular velocity indicated by the angular velocity frequency data of the tenth embodiment. FIG. 25 shows an example of the frequency of the angular velocity applied to a wrist watch carried by a user with a relatively small arm swing. On the other hand, FIG. 26 shows an example of the frequency of the angular velocity applied to the wristwatch carried by the user with relatively large arm swing. Both FIGS. 25 and 26 show the frequency of the angular velocity applied to the watch in the form of a bar graph in each range of 0 to 25, 26 to 50, . . . , 226 to 250 .

When carried by a user with a relatively small arm swing, the angular velocity applied to the watch, for example, as shown in FIG. In addition, when the angular velocity applied to the watch is small, it is difficult to promote the rotation of the rotary hammer, so that it is difficult to wind up the power spring of the watch.

On the other hand, in the case of being carried by a user with a relatively large arm swing, the angular velocity applied to the wristwatch, for example, as shown in FIG. If it is high, the frequency representing a value exceeding 100 is about the same as the frequency representing a value less than 100. In addition, when the angular velocity applied to the watch is high, the rotation of the oscillating weight is easily accelerated, so that it becomes easy to wind up the power spring of the watch.

The state evaluation function determines whether or not the frequency within the range in which the angular velocity indicated by the angular velocity frequency data exceeds a predetermined threshold value exceeds a predetermined threshold value. Specifically, the state evaluation function determines whether or not at least a part of the angular velocity indicated by the angular velocity frequency data exceeds a predetermined threshold value. The predetermined threshold value is, for example, the threshold value shown by the dotted line Th101 shown in FIGS. 25 and 26 . Then, the state evaluation function determines whether or not at least a part of the frequency indicated by the angular velocity frequency data exceeds a predetermined threshold value. The predetermined threshold value is, for example, the threshold value shown by the dotted line Th102 shown in FIGS. 25 and 26 .

When it is determined that the frequency within the range of the angular velocity indicated by the angular velocity frequency data exceeds the predetermined threshold value exceeds the predetermined threshold value, the notification data output function outputs notification data indicating that the powerspring of the watch has been wound up. When it is not determined that the frequency within the range of the angular velocity indicated by the angular velocity frequency data exceeds the predetermined threshold value exceeds the predetermined threshold value, the notification data output function outputs notification data urging the power spring of the watch to be wound up.

Next, an example of processing executed by the wristwatch band of the tenth embodiment will be described with reference to FIG. 27 . FIG. 27 is a flowchart showing an example of processing executed by the wristwatch band according to the tenth embodiment.

In step S101 , the state data acquisition function acquires angular velocity frequency data representing the frequency of the angular velocity applied to the wristwatch in the range of at least two angular velocities.

In step S102, the state evaluation function determines whether or not at least a part of the angular velocity indicated by the angular velocity frequency data acquired in step S101 exceeds a predetermined threshold value. When it is determined that at least a part of the angular velocity indicated by the angular velocity frequency data acquired in step S101 exceeds a predetermined threshold value (step S102: YES), the state evaluation function advances the process to step S103. On the other hand, when it is determined that at least a part of the angular velocity indicated by the angular velocity frequency data acquired in step S101 is equal to or less than the predetermined threshold value (step S102: NO), the state evaluation function advances the process to step S105.

In step S103, the state evaluation function determines whether or not at least a part of the frequency indicated by the angular velocity frequency data acquired in step S102 exceeds a predetermined threshold value. When it is determined that at least a part of the frequency indicated by the angular velocity frequency data acquired in step S102 exceeds a predetermined threshold value (step S103: YES), the state evaluation function advances the process to step S104. On the other hand, when it is determined that at least a part of the frequency indicated by the angular velocity frequency data acquired in step S102 is equal to or less than the predetermined threshold value (step S103: NO), the state evaluation function advances the process to step S105.

In step S104, the notification data output function outputs notification data indicating that the power spring of the watch has been wound up.

In step S105, the notification data output function outputs notification data for promoting winding up of the power spring of the watch.

The state evaluation program of the tenth embodiment has been described above. When it is determined that the frequency within the range of the angular velocity indicated by the angular velocity frequency data exceeds the predetermined threshold value exceeds the predetermined threshold value, the state evaluation program outputs notification data indicating that the powerspring of the watch has been wound up. Thus, when it can be evaluated that the oscillating weight is sufficiently rotated and the power spring is sufficiently wound up from the angular velocity and the differential rate applied to the watch, the state evaluation program can notify that the power spring is sufficiently wound.

On the other hand, when it is not determined that the frequency within the range of the angular velocity indicated by the angular velocity frequency data exceeds the predetermined threshold value exceeds the predetermined threshold value, the state evaluation program outputs notification data for urging winding up of the power spring of the watch. Thereby, when it can be determined from the angular velocity and the differential rate applied to the watch that the oscillating weight is not sufficiently rotated and the power spring is not sufficiently wound up, the state evaluation program can issue a notification to wind up the power spring.

[Eleventh Embodiment]

The state evaluation routine of the eleventh embodiment will be described with reference to FIGS. 28 and 29 . In addition, in the eleventh embodiment, descriptions of the same contents as those of the tenth embodiment described above are appropriately omitted. The state evaluation program has a state data acquisition function, a state evaluation function, and a notification data output function.

The state data acquisition function acquires state data representing the state of the wristwatch, which is collected by a sensor mounted on a wristwatch strap attached to the wristwatch. Specifically, the state data acquisition function includes a temperature data acquisition function and a time sound data acquisition function.

The temperature data acquisition function acquires temperature data representing the temperature of the watch collected by the sensor. In this case, the sensor includes a temperature sensor. The temperature data is data indicating the temperature of the wristwatch or its statistical value measured by the temperature sensor within a predetermined period. The statistical value referred to here is, for example, a maximum value, a minimum value, an average value, and a median value.

28 is a diagram showing an example of the frequency of the temperature of the wristwatch indicated by the temperature data of the eleventh embodiment. FIG. 28 shows the frequency of the temperature of the watch in each range of 0 to 9 degrees, 10 to 19 degrees, 20 to 29 degrees, 30 to 39 degrees, and 40 to 49 degrees in a bar graph. In addition, FIG. 28 shows that the frequency is higher when the temperature of the wristwatch is 30 to 39 degrees Celsius than when the temperature of the wristwatch is at other temperatures.

The time sound data acquisition function acquires time sound data representing the time sound of the wristwatch collected by the sensor.

The state evaluation function determines whether or not the difference rate of the watch calculated from the time sound data deviates from a predetermined range at the temperature indicated by the temperature data. 29 is a diagram showing an example of the relationship between the temperature of the wristwatch indicated by the temperature data of the eleventh embodiment and the difference rate of the wristwatch calculated based on the time sound data. The horizontal axis of FIG. 29 represents the temperature of the watch indicated by the temperature data, and the vertical axis represents the difference rate of the watch calculated based on the time sound data. For example, the temperature indicated by the temperature data is the temperature in the range indicated by the arrow A111 on the straight line L111 shown in FIG. 29 , and it is determined whether or not the difference rate of the watch calculated based on the time sound data deviates from the arrow shown in FIG. 29 . A112 range.

When it is determined that the difference rate of the watch calculated from the time sound data is out of the predetermined range at the temperature indicated by the temperature data, the notification data output function outputs notification data for urging the watch to be inspected. For example, when the temperature is in the range indicated by the arrow A111 on the straight line shown in FIG. 29, and it is determined that the difference rate is out of the range indicated by the arrow A112 shown in FIG. Notification data in which the difference rate in the range indicated by the arrow A111 shown in 29 is as close to zero as possible. That is, in such a case, the notification data output function outputs notification data that urges the relationship between the temperature indicated by the temperature data and the difference rate calculated based on the time sound data to be as close as possible to that shown in FIG. 29 . Line L112.

Next, an example of processing executed by the wristwatch band of the eleventh embodiment will be described with reference to FIG. 30 . 30 is a flowchart showing an example of processing executed by the wristwatch band of the eleventh embodiment.

In step S111, the state data acquisition function acquires temperature data indicating the temperature of the wristwatch.

In step S112, the status data acquisition function acquires time sound data representing the time sound of the wristwatch.

In step S113, the state evaluation function calculates the difference rate of the watch based on the time sound of the watch indicated by the time sound data acquired in step S112.

In step S114, the state evaluation function determines whether or not the difference rate of the wristwatch calculated in step S113 deviates from a predetermined range at the temperature indicated by the temperature data acquired in step S111. When it is determined at the temperature indicated by the temperature data acquired in step S111 that the difference rate of the watch calculated in step S113 is out of the predetermined range (step S114: YES), the state evaluation function advances the process to step S115. On the other hand, when it is determined that the difference rate of the watch calculated in step S113 falls within the predetermined range at the temperature indicated by the temperature data acquired in step S111 (step S114: NO), the state evaluation function The process is returned to step S111.

In step S115, the notification data output function outputs notification data for urging maintenance of the watch.

The state evaluation program of the eleventh embodiment has been described above. When it is determined that the difference rate of the watch calculated from the time sound data deviates from the predetermined range at the temperature indicated by the temperature data, the state evaluation program outputs notification data for urging the watch to be inspected. Thereby, the state evaluation program can evaluate the temperature and the difference rate of the watch, and notify the appropriate repair inspection content based on the temperature and the difference rate.

[Twelfth Embodiment]

The state evaluation routine of the twelfth embodiment will be described with reference to FIG. 31 . In addition, in the twelfth embodiment, descriptions of the same contents as those of the eleventh embodiment described above are appropriately omitted. The state evaluation program has a state data acquisition function, a state evaluation function, and a notification data output function.

The state data acquisition function is a temperature data acquisition function for acquiring temperature data collected by a sensor and representing a time change in the temperature of the watch. In this case, the sensor includes a temperature sensor. 31 is a diagram showing an example of a time change in the temperature of the wristwatch indicated by the temperature data of the twelfth embodiment. The horizontal axis of FIG. 31 represents time, and the vertical axis represents the temperature of the wristwatch.

The state evaluation function calculates the accumulated time during which the watch is not carried by the user, that is, the accumulated non-carrying time by accumulating the time during which the temperature indicated by the temperature data is lower than a predetermined threshold value. Then, the state evaluation function determines whether or not the accumulated non-carrying time exceeds a predetermined threshold. For example, the state evaluation function adds the time during which the temperature shown by the temperature data is lower than the threshold value shown by the dotted line Th121 shown in FIG. 31 to the accumulated non-carrying time.

When it is determined that the accumulated non-carrying time exceeds a predetermined threshold value, the notification data output function outputs notification data for urging winding up of the power spring of the watch.

Next, an example of processing executed by the wristwatch band of the twelfth embodiment will be described with reference to FIG. 32 . FIG. 32 is a flowchart showing an example of processing executed by the wristwatch band according to the twelfth embodiment.

In step S121, the state data acquisition function acquires temperature data representing the temporal change in the temperature of the wristwatch.

In step S122, the state evaluation function accumulates the time during which the temperature indicated by the temperature data is lower than a predetermined threshold value, and calculates the accumulated time when the watch is not carried by the user, that is, the accumulated non-carrying time.

In step S123, the state evaluation function determines whether or not the accumulated non-carrying time calculated in step S122 exceeds a predetermined threshold value. When it is determined that the accumulated non-carrying time calculated in step S122 exceeds a predetermined threshold value (step S123: YES), the state evaluation function advances the process to step S124. On the other hand, when it is determined that the accumulated non-carrying time calculated in step S122 is equal to or less than the predetermined threshold value (step S123: NO), the state evaluation function returns the process to step S121.

In step S124, the notification data output function outputs notification data for urging winding up of the power spring of the watch.

The state evaluation program of the twelfth embodiment has been described above. When it is determined that the accumulated non-carrying time exceeds a predetermined threshold value, the state evaluation program outputs notification data for urging winding up of the power spring of the watch. Thereby, the state evaluation program can evaluate the accumulated non-carrying time of the wristwatch based on the temperature of the wristwatch, and notify the appropriate repair inspection content based on the accumulated non-carrying time.

[Thirteenth Embodiment]

The state evaluation routine of the thirteenth embodiment will be described with reference to FIG. 33 . In addition, in the thirteenth embodiment, descriptions of the same contents as those of the above-mentioned twelve embodiments are appropriately omitted. The state evaluation program has a state data acquisition function, a state evaluation function, and a notification data output function.

The state data acquisition function includes a magnetic data acquisition function and a time sound data acquisition function. The magnetic data acquisition function acquires magnetic data collected by the sensor and representing the time change of the magnetic intensity applied to the watch. The time sound data acquisition function acquires time sound data representing the time sound of the wristwatch collected by the sensor. Therefore, in this case, the sensor includes a magnetic sensor, and a microphone or piezoelectric element.

FIG. 33 is a diagram showing an example of a temporal change of the magnetic intensity indicated by the time sound data according to the thirteenth embodiment. The horizontal axis of FIG. 33 represents time, and the vertical axis represents the magnetic intensity measured by the magnetic sensor.

The state evaluation function determines whether the magnetic intensity indicated by the magnetic data exceeds a predetermined threshold value. The predetermined threshold value is a threshold value indicated by a dotted line Th131 shown in FIG. 33 . Then, the state evaluation function determines whether or not the difference rate calculated from the time sound indicated by the time sound data deviates from a predetermined range.

When it is determined that the magnetic intensity indicated by the magnetic data exceeds a predetermined threshold value, the notification data output function outputs notification data for urging demagnetization of the wristwatch. Then, when it is determined that the difference rate calculated from the time sound indicated by the time sound data deviates from a predetermined range, the notification data output function outputs notification data for urging the watch to be inspected.

Next, an example of processing executed by the wristwatch band of the thirteenth embodiment will be described with reference to FIG. 34 . 34 is a flowchart showing an example of processing executed by the wristwatch band according to the thirteenth embodiment.

In step S131, the state data acquisition function acquires magnetic data representing the temporal change of the magnetic intensity applied to the wristwatch.

In step S132, the state evaluation function determines whether or not the magnetic intensity indicated by the magnetic data acquired in step S131 exceeds a predetermined threshold value. When it is determined that the magnetic intensity indicated by the magnetic data acquired in step S131 exceeds a predetermined threshold value (step S132: YES), the state evaluation function advances the process to step S133. On the other hand, when it is determined that the magnetic intensity indicated by the magnetic data acquired in step S131 is equal to or less than the predetermined threshold value (step S132: NO), the state evaluation function returns the process to step S131.

In step S133, the notification data output function outputs notification data urging demagnetization of the wristwatch.

In step S134, the status data acquisition function acquires time sound data representing the time sound of the wristwatch.

In step S135, the state evaluation function calculates the difference rate of the watch based on the time sound of the watch indicated by the time sound data acquired in step S134.

In step S136, the state evaluation function determines whether or not the difference rate of the wristwatch calculated in step S135 exceeds a predetermined threshold value. When it is determined that the difference rate of the wristwatch calculated in step S135 exceeds a predetermined threshold value (step S136: YES), the state evaluation function advances the process to step S137. On the other hand, when it is determined that the difference rate of the wristwatch calculated in step S135 is equal to or less than the predetermined threshold value (step S136: NO), the state evaluation function returns the process to step S131.

In step S137, the notification data output function outputs notification data for urging maintenance of the watch.

The state evaluation program of the thirteenth embodiment has been described above. When it is determined that the magnetic intensity indicated by the magnetic data exceeds a predetermined threshold value, the state evaluation program outputs notification data urging demagnetization of the wristwatch. Thereby, the state evaluation program can evaluate the strength of the magnetism applied to the wristwatch, and notify the content of the appropriate repair inspection based on the strength of the magnetism.

Then, when it is determined that the difference rate calculated from the time sound indicated by the time sound data deviates from the predetermined range, the state evaluation program outputs notification data for urging the watch to be inspected. Thereby, the condition evaluation program can evaluate the difference rate of the watch, and notify the appropriate repair inspection content based on the difference rate.

In addition, the above-mentioned state evaluation program may be transmitted to another computer system via a transmission medium (eg, a network such as the Internet, or a communication line such as a telephone line).

In addition, the above-mentioned state evaluation program may be a program that realizes all or part of the above-mentioned functions. In addition, the program that realizes a part of the above-described functions may be a so-called differential program that can realize the above-described functions in combination with a program pre-stored in a computer system.

As described above, the first to thirteenth embodiments have been used as examples to describe the modes for implementing the present invention, but the present invention is not limited to these embodiments, and can be applied within the scope of not departing from the gist of the present invention. Various deformations and permutations.

Claims (19)

1. A state evaluation method, which is used to realize the following functions: a state data acquisition function that acquires state data representing the state of the watch, collected by a sensor mounted on a watch band attached to the watch; a state evaluation function that executes state evaluation processing for evaluating the state of the wristwatch based on the state data; and The notification data output function outputs notification data indicating at least one of a result of the state evaluation process and a repair inspection content based on the result when a predetermined condition is satisfied in the state evaluation process. 2. The state evaluation method according to claim 1, wherein, The state data acquisition function is a time sound data acquisition function that acquires time sound data representing the time sound of the wristwatch collected by the sensor within a predetermined period of time, The state evaluation function is an accuracy evaluation function that executes an accuracy evaluation process for evaluating the accuracy of the time displayed by the wristwatch based on the time sound data. 3. The state evaluation method according to claim 2, wherein, The accuracy evaluation function is a function of, in the accuracy evaluation process, accumulating the time during which the time sound of the wristwatch is collected to calculate the accumulated time sound generation time, and determining whether the accumulated time sound generation time is not. exceeds the specified threshold, The notification data output function is a function of outputting the notification data for urging inspection of the wristwatch when it is determined in the accuracy evaluation process that the cumulative time sound generation time exceeds a predetermined threshold value. 4. The state evaluation method according to claim 2, wherein, The accuracy evaluation function is a function of calculating, in the accuracy evaluation process, a swing angle of a balance wheel included in the wristwatch based on the time sound of the wristwatch, and calculating the swing angle that exceeds a predetermined threshold value. The time is accumulated to calculate the accumulated driving time as the time when the watch is driven, and it is determined whether the accumulated driving time exceeds a predetermined threshold value, The notification data output function is a function of outputting the notification data for urging inspection of the wristwatch when it is determined in the accuracy evaluation process that the accumulated driving time exceeds a predetermined threshold value. 5. The state evaluation method according to claim 2, wherein, The accuracy evaluation function is a function of calculating, in the accuracy evaluation process, a swing angle of a balance wheel included in the watch based on the time sound of the watch, and determining whether the swing angle is a predetermined threshold value or not. the following, The notification data output function is a function of outputting the notification data for urging inspection of the wristwatch when it is determined in the accuracy evaluation process that the swing angle is equal to or smaller than a predetermined threshold value. 6. The state evaluation method according to claim 2, wherein, The accuracy evaluation function is a function of calculating, in the accuracy evaluation process, a swing angle of a balance wheel included in the watch based on the time sound of the watch, and determining whether the swing angle exceeds a predetermined value. threshold, The notification data output function is a function of outputting the notification data indicating that overtravel has occurred when it is determined in the accuracy evaluation process that the swing angle exceeds a predetermined threshold value. 7. The state evaluation method according to claim 2, wherein, The accuracy evaluation function is a function of calculating, in the accuracy evaluation process, a swing angle of a balance wheel included in the watch based on the time sound of the watch, calculating cumulative non-carrying time, and determining the cumulative non-carrying time. Whether the non-carrying time exceeds the duration of the watch, wherein the accumulated non-carrying time is obtained by accumulating the non-carrying time, and the non-carrying time is the predetermined fluctuation of the swing angle within a predetermined period The time that varies below the range, the non-carrying time means the time when the watch is not carried, The notification data output function is a function of outputting an urge to wind up the power spring of the watch when it is determined in the accuracy evaluation process that the accumulated non-carrying time exceeds the duration of the watch. of the notification data. 8. The state evaluation method according to claim 2, wherein, The accuracy evaluation function is a function of calculating, in the accuracy evaluation process, the swing angle of the balance wheel included in the wristwatch based on the time sound of the wristwatch, calculating the accumulated carrying time, and determining whether the accumulated time is equal to or less than the accumulated time. Whether the time obtained by multiplying the carrying time by a predetermined coefficient considering the body temperature of the user carrying the watch exceeds the predetermined time, wherein the accumulated carrying time is obtained by accumulating the carrying time, and the carrying time is The time during which the swing angle fluctuates more than a predetermined fluctuation range within a predetermined period, The notification data output function is a function of outputting a maintenance urging station when it is determined in the accuracy evaluation process that the time obtained by multiplying the accumulated carrying time by the predetermined coefficient exceeds a predetermined time. the notification data of the watch. 9. The state evaluation method according to claim 2, wherein, The accuracy evaluation function is a function of calculating, in the accuracy evaluation process, a difference rate of the watch within a predetermined period based on the time sound of the watch, and determining whether or not the amount of change in the difference rate exceeds the specified threshold, The notification data output function is a function of outputting the notification data for prompting demagnetization or repair of the wristwatch when it is determined that the amount of change in the difference rate exceeds a predetermined threshold value. 10. The state evaluation method according to claim 1, wherein, The state data acquisition function includes a posture data acquisition function and a time sound data acquisition function, the posture data acquisition function acquires posture data representing the posture of the watch collected by the sensor, and the time sound data acquisition function is obtained by time sound data collected by the sensor representing the time sound of the watch, The state evaluation function is a function of evaluating the tendency of the posture of the wristwatch based on the posture data, and calculating the difference rate of the wristwatch based on the time sound indicated by the time sound data, and determining the Whether the difference rate of the said watch deviates from the specified range, The notification data output function is a function of outputting the notification data for urging inspection of the watch according to the tendency of the posture of the watch when it is determined that the difference rate of the watch is out of a predetermined range. 11. The state evaluation method according to claim 1, wherein, The state data acquisition function includes an acceleration data acquisition function and a time sound data acquisition function, the acceleration data acquisition function acquires acceleration data representing the acceleration of the wristwatch collected by the sensor, and the time sound data acquisition function is obtained by time sound data collected by the sensor representing the time sound of the watch, The state evaluation function is a function for judging whether the acceleration indicated by the acceleration data exceeds a predetermined threshold value and the difference rate of the watch calculated from the time sound data deviates from a predetermined range, The notification data output function is a function for determining that the acceleration indicated by the acceleration data exceeds a predetermined threshold value and that the difference rate of the wristwatch calculated from the time sound data deviates from a predetermined value If it is within the range, the notification data for prompting the maintenance of the watch is output. 12. The state evaluation method according to claim 1, wherein, The state data acquisition function is an angular velocity frequency data acquisition function that acquires angular velocity frequency data collected by the sensor, the angular velocity frequency data representing the angular velocity applied to the watch in a range of at least two angular velocities Frequency of, The state evaluation function is a function of determining whether or not the frequency in the range in which the angular velocity indicated by the angular velocity frequency data exceeds a predetermined threshold value exceeds a predetermined threshold value, The notification data output function is a function of outputting a power spring indicating the watch when it is determined that the frequency within the range of the angular velocity indicated by the angular velocity frequency data exceeds a predetermined threshold value exceeds a predetermined threshold value The notification data that has been wrapped up. 13. The state evaluation method according to claim 1, wherein, The state data acquisition function is an angular velocity frequency data acquisition function that acquires angular velocity frequency data collected by the sensor, the angular velocity frequency data representing the angular velocity applied to the watch in a range of at least two angular velocities Frequency of, The state evaluation function is a function of determining whether or not the frequency in the range in which the angular velocity indicated by the angular velocity frequency data exceeds a predetermined threshold value exceeds a predetermined threshold value, The notification data output function is a function of outputting power for urging the watch to be turned on when it is not determined that the frequency within the range of the angular velocity indicated by the angular velocity frequency data exceeds a predetermined threshold value exceeds a predetermined threshold value. Said notification data that the clockwork is wound up. 14. The state evaluation method according to claim 1, wherein, The status data acquisition function includes a temperature data acquisition function and a time sound data acquisition function, the temperature data acquisition function acquires temperature data representing the temperature of the watch collected by the sensor, and the time sound data acquisition function is acquired by time sound data collected by the sensor representing the time sound of the watch, The state evaluation function is a function of determining whether or not the difference rate of the wristwatch calculated from the time sound data deviates from a predetermined range at the temperature indicated by the temperature data, The notification data output function is a function for outputting an inspection prompt when it is determined that the difference rate of the watch calculated from the time sound data is out of a predetermined range at the temperature indicated by the temperature data the notification data of the watch. 15. The state evaluation method according to claim 1, wherein, The state data acquisition function is a temperature data acquisition function for acquiring temperature data collected by the sensor and indicating temporal changes in the temperature of the wristwatch, The state evaluation function is a function of accumulating the time during which the temperature indicated by the temperature data is lower than a predetermined threshold value to calculate a cumulative non-carrying time that is the time that the watch is not carried by the user, and determining whether the accumulated non-carrying time exceeds a specified threshold, The notification data output function is a function of outputting the notification data for prompting winding up of the power spring of the wristwatch when it is determined that the accumulated non-carrying time exceeds a predetermined threshold value. 16. The state evaluation method according to claim 1, wherein, The state data acquisition function includes a magnetic data acquisition function of acquiring magnetic data collected by the sensor and indicating a temporal change in the magnetic intensity applied to the wristwatch, The state evaluation function includes a function of determining whether or not the magnetic intensity indicated by the magnetic data exceeds a predetermined threshold value, The notification data output function includes a function of outputting the notification data for prompting demagnetization of the wristwatch when it is determined that the magnetic intensity indicated by the magnetic data exceeds a predetermined threshold value. 17. The state evaluation method according to claim 16, wherein, The state data acquisition function further includes a time sound data acquisition function for acquiring time sound data representing the time sound of the wristwatch collected by the sensor, The state evaluation function further includes a function of determining whether or not the difference rate calculated from the time sound indicated by the time sound data deviates from a predetermined range, The notification data output function further includes a function of outputting the notification urging the watch to be inspected when it is determined that the difference rate calculated from the time sound indicated by the time sound data deviates from a predetermined range data. 18. A wristwatch band equipped with a computer that executes the state evaluation method according to any one of claims 1 to 17. 19. A storage medium storing a program for executing the state evaluation method according to any one of claims 1 to 17.

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